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Remote Machine Learning Compiler Engineer Jobs in Phoenix, AZ

Ascend Learning

Principal AI Engineer

Gilbert, AZ · On-site +1

... remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A ... Advanced understanding and practical experience in machine learning and natural language processing ...

micro1 AI

LLM Alignment Specialist - Engineering

Mesa, AZ · Remote

$80 - $90/hr

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Dutchbros

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

... machine learning, and AI-driven workflows and will be responsible for designing and implementing ... Location Requirement: This position is eligible for remote work within any state Dutch Bros ...

Paychex

Data Solutions Engineer

Tempe, AZ · On-site +1

$91K - $156K/yr

Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

Motorola

Senior DevOps Engineer (US REMOTE)

Phoenix, AZ · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

New

micro1 AI

Domain Expert - (STEM PhD)

Phoenix, AZ · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Mesa, AZ · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

DataAnnotation

SDLC Engineer - AI Trainer

Phoenix, AZ · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Goodyear, AZ · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Surprise, AZ · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Buckeye, AZ · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Phoenix, AZ

Remote Machine Learning Compiler Engineer information

See Phoenix, AZ salary details

$74.5K

$166.3K

$203.5K

How much do remote machine learning compiler engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote machine learning compiler engineer in Phoenix, AZ is $166,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,000.00 and $203,500.00 per year, depending on experience, location, and employer.

How does a Remote Machine Learning Compiler Engineer typically collaborate with cross-functional teams to optimize model deployment?

As a Remote Machine Learning Compiler Engineer, you will frequently collaborate with data scientists, hardware engineers, and software developers to ensure that machine learning models are efficiently compiled and deployed on target platforms. Communication often takes place through virtual meetings, code reviews, and shared documentation tools. You'll be responsible for translating research models into optimized code, troubleshooting performance bottlenecks, and integrating feedback from various stakeholders. Effective teamwork is crucial, as the success of deployments often depends on iterative feedback and close alignment with both the ML research and hardware teams.

What is a Remote Machine Learning Compiler Engineer?

A Remote Machine Learning Compiler Engineer is a software engineer who specializes in developing and optimizing compilers specifically for machine learning workloads, while working from a remote location. Their primary responsibilities include designing and implementing compiler features that translate machine learning models into efficient code for various hardware platforms, such as CPUs, GPUs, or specialized accelerators. They collaborate closely with machine learning researchers, hardware engineers, and software developers to ensure high performance and compatibility. In addition to strong programming skills, they typically require expertise in compiler theory, machine learning frameworks, and hardware architectures. This role allows for flexible, location-independent work while contributing to cutting-edge AI technologies.

What is the difference between Remote Machine Learning Compiler Engineer vs Remote Data Scientist?

AspectRemote Machine Learning Compiler EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fields; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentPrimarily software development, compiler optimization, and ML model deploymentData analysis, model building, and interpretation of results
Industry UsageTech companies, AI startups, hardware firms focusing on ML hardware accelerationTech, finance, healthcare, and research organizations

While both roles involve working with machine learning, the Remote Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Remote Data Scientist concentrates on analyzing data and building predictive models. The roles share some technical skills but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Compiler Engineer, and why are they important?

To thrive as a Remote Machine Learning Compiler Engineer, you need a strong background in computer science, proficiency in programming languages like C++ and Python, and expertise in compiler theory and machine learning frameworks. Familiarity with ML compilers such as TVM or XLA, and experience using version control and CI/CD systems are commonly required, along with a relevant bachelor's or master's degree. Outstanding problem-solving, collaboration, and communication skills are essential for working effectively in distributed teams and across technical domains. These skills and qualities enable the development of efficient, scalable ML solutions that bridge software and hardware, ensuring high performance and innovation.
What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Phoenix, AZ? The most popular types of Machine Learning Compiler Engineer jobs in Phoenix, AZ are:
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Remote Machine Learning Compiler Engineer jobs near you
Principal AI Engineer

Principal AI Engineer

Ascend Learning

Gilbert, AZ • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

We Impact Lives Through Purpose-Driven Work in A People First Culture
Ascend Learning, a leading healthcare and learning technology company, is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data-driven solutions across the lifecycle of learning. From testing to certification, Ascend Learning products are used by physicians, emergency medical professionals, nurses, allied health professionals, certified personal trainers, financial advisors, skilled trades professionals and insurance brokers.
Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2025 Greatest Workplaces as well as America's Best Places to work for Mental Well-Being for 2025.
We're always looking for talented, passionate professionals to join us in our mission to help change lives. If this sounds like an environment where you'd thrive, read on to learn more.
For over 37 years, National Academy of Sports Medicine® (NASM®) has set the standard in fitness and wellness credentials and certification with best-in-class, evidence-based programming. An Ascend Learning brand, NASM has delivered over 1.4 million fitness professionals in over 100 countries. From personal training to nutrition coaching, wellness to sports performance, NASM trainers and specialists work at every level to help clients set and reach their unique goals. Join us in igniting potential and making a lasting impact in the fitness and wellness industry.
WHAT YOU'LL DO
As a Principal AI Engineer, you will be pivotal in driving the evolution of our AI-powered products and solutions, shaping the future of education through innovative technology. This position will lead the design, development and deployment of scalable solutions using Generative AI and Machine Learning foundational models. As a hands-on technical lead, you will guide the team in solving complex AI problems, architecting solutions for AI projects, and contributing to the successful implementation of AI strategy at Ascend. The Principal AI Engineer position will report to the Principal Architect and will work with the Innovation, Architecture, NASM and Ascend ITS teams, and coordinate with other teams that have a stake in the development process.
WHERE YOU'LL WORK
This position will work a hybrid schedule from our Gilbert, AZ office location. Remote will be considered
HOW YOU'LL SPEND YOUR TIME
  • Lead the Design, develop, and deploy innovative, scalable AI/ML solutions focusing on the full lifecycle of projects from conception to deployment, including building and optimizing AI models
  • Lead the team in building scalable, high-performance LLMOps pipelines.
  • Design and co-own the Generative AI/ML system and project architecture, frameworks, tools, and processes
  • Remain versed on the latest advancements in the field, leading research initiatives, experimenting with new algorithms, and identifying opportunities for innovation. This can involve exploring LLMs (Large Language Models), embedding pipelines, and generative AI search/retrieval frameworks.
  • Provide technical leadership, guidance, and hands-on coding throughout the implementation phase, ensuring seamless integration of AI features, aligning with stakeholders to define AI and Product Roadmaps which enable corporate objectives
  • Manage and preprocess large datasets, design efficient data processing pipelines, and ensure data integrity and security in adherence to privacy regulations.
  • Experience designing and implementing AI/ML models with feedback loops and automated re-training and fine-tuning pipelines
  • Collaborate with cross-functional teams, including product teams, data scientists, and data engineers, software engineers to integrate AI capabilities into existing and new products
  • Provide technical mentorship and guidance to team members, fostering a culture of growth and innovation
  • Guide junior engineers in best practices for AI/ML, review their work, and offer feedback to foster their growth. Oversee and guide design review sessions across different projects, ensuring consistency and adherence to best practices.
  • Ensure that AI solutions are developed and deployed ethically, considering fairness, accountability, and transparency
  • Take ownership of defining project milestones, timelines, and ensuring successful delivery within specified deadlines
  • Contribute to the development and maintenance of coding standards, best practices, and documentation
  • Stay up to date with the latest AI Developments and trends

WHAT YOU'LL NEED
  • Bachelor' degree preferred in Computer Science/Artificial Intelligence or closely related field. Equivalent professional experience will also be considered. High School diploma or GED required
  • 6+ years of progressive work experience in data and analytics, big data related positions with at least 3 years in developing and implementing Analytical applications
  • Experience building and deploying LLM models, prompt engineering, context management, and embedding techniques using MS Azure and competitive cloud services
  • Advanced understanding and practical experience in machine learning and natural language processing, especially large language models (LLMs) and their integration, optimization, and evaluation
  • Experience using analytics/ML tools such as Python, NLTK, HuggingFace, SQL, and Snowflake
  • Experience with CI/CD pipelines, containerization technologies like Docker and Kubernetes, and MLflow or similar tools for lifecycle management of machine learning models.
  • Proven ability to translate innovative ideas into practical, scalable solutions
  • Intrinsic motivation with a strong desire to make a positive impact on the organization
  • Excellent problem-solving, and critical-thinking skills, and an aptitude for innovation
  • Demonstrate leadership experience and lead a team of junior AI engineers
  • Excellent verbal, written, and presentation communication skills
  • Aspirations for professional development and growth opportunities
  • Impact-oriented and user-focused, team-first mindset

BENEFITS
  • Flexible and generous paid time off
  • Competitive medical, dental, vision and life insurance
  • 401(k) employer matching program
  • Parental leave
  • Wellness resources
  • Charitable matching program
  • On-site workout facilities (Leawood, Gilbert, Burlington)
  • Community outreach groups
  • Tuition reimbursement

Fostering A Sense of Belonging
Our values-driven culture unifies our teams and inspires a mindset of action, innovation, and collaboration, with a relentless focus on customers. We seek out and celebrate all people and perspectives and cultivate an inclusive culture where everyone can thrive, feel valued, and be authentic. Our culture is firmly rooted in the belief that by embracing our differences and drawing on diverse perspectives, we are a stronger, more innovative, and more successful organization where employees experience a sense of belonging.
Ascend Learning, LLC is proud to be an equal opportunity employer (M/F/Vets/Disabled). No agency or search firm submissions will be accepted. Applications for U.S.-based positions with Ascend Learning, LLC must be legally authorized to work in the United States, and verification of employment eligibility will be required at the time of hire.

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